@inproceedings{dff265f852a54836b6e7a25abc49c1f9,
title = "A Classification Based Method for Target Detection",
abstract = "A directional source of interference such as jamming can be rejected using a phased array. A common approach to achieve this is to use adaptive beamforming, wherein appropriate weights are selected that form a null at the jammer angles while preserving gain in the target look direction. This paper proposes a novel alternative approach that uses techniques from pattern classification in order to detect a target in the presence of jamming. Simulation results show that the proposed method improves target detection accuracy for situations in which the jammer and target angles are closely spaced.",
keywords = "Adaptive Beamforming, Jammer Suppression, Linear Classifi-cation",
author = "Mohammad Sahnoon and Khaled Assaleh and Usman Tariq and Hasan Mir",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019 ; Conference date: 05-02-2019 Through 07-02-2019",
year = "2019",
month = mar,
day = "4",
doi = "10.1109/UVS.2019.8658310",
language = "English",
series = "2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019",
address = "United States",
}